Pinned Repositories
TrafficLightsDetection
using SSD and caffe detect traffic lights on LISA dataset
a-PyTorch-Tutorial-to-Object-Detection
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
AI-Job-Notes
AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）
AI-Job-Recommend
国内公司人工智能方向（含机器学习、深度学习、计算机视觉和自然语言处理）岗位的招聘信息（含全职、实习和校招）
Awesome-BEV-Perception-Multi-Cameras
Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird-Eye-View, such as DETR3D, BEVDet, BEVFormer
awesome-detection-transformer
Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)
awesome-lane-detection
A paper list of lane detection.
awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
BEVDet
Official code base of the BEVDet series .
hailuo0112's Repositories
hailuo0112/PETR
[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images
hailuo0112/git_test
hailuo0112/spvnas
[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
hailuo0112/Lidar_AI_Solution
A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,).
hailuo0112/nuscenes2kitti
hailuo0112/multitask-hydranet
multitask mono camera perception with three tasks: object detection; lane detection; semantic segmentation
hailuo0112/CUDA-PointPillars
A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.
hailuo0112/ECCV2022-Paper-Code-Interpretation
ECCV2022 论文/代码/解读合集，极市团队整理
hailuo0112/bevfusion
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
hailuo0112/tensorrt_inference
hailuo0112/BEVFormer
This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
hailuo0112/BEVDet
Official code base of the BEVDet series .
hailuo0112/yolov7
🔥🔥🔥🔥 YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥
hailuo0112/BEVerse
The official repository for BEVerse
hailuo0112/PaddleSeg
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
hailuo0112/CVPR2022-Papers-with-Code-Demo
收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！
hailuo0112/Awesome-BEV-Perception-Multi-Cameras
Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird-Eye-View, such as DETR3D, BEVDet, BEVFormer
hailuo0112/BoxeR
Code release for "BoxeR: Box-Attention for 2D and 3D Transformers"
hailuo0112/vidt
hailuo0112/awesome-detection-transformer
Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)
hailuo0112/Learning-Deep-Learning
Paper reading notes on Deep Learning and Machine Learning
hailuo0112/M2BEV
hailuo0112/YOLOP
You Only Look Once for Panopitic Driving Perception.（https://arxiv.org/abs/2108.11250）
hailuo0112/DINO
Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
hailuo0112/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
hailuo0112/TransFusion
[PyTorch] Official implementation of CVPR2022 paper "TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers". https://arxiv.org/abs/2203.11496
hailuo0112/ConvNeXt
Code release for ConvNeXt model
hailuo0112/lift-splat-shoot
Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)
hailuo0112/Cam2BEV
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
hailuo0112/pcan
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation, NeurIPS 2021 Spotlight